Ai Ml Engineer (Chennai, Hyderabad, Bengaluru, Pune, Kochi)

The

includes developing, testing, and deploying AI/ML models and applications, often using cloud services and generative AI models.

involve data preprocessing, model optimization, and collaborating with cross-functional teams to ensure production-ready quality in applications that can include deep learning, chatbots, and image processing. Core

: • Design, build, and maintain machine/ deep learning systems and applications. • Develop and implement AI solutions using tools like deep learning, neural networks, and generative AI models. • Clean, preprocess, and analyze large datasets to ensure data quality and integrity. • Optimize AI algorithms for performance and scalability. • Deploy models into production environments and manage application pipelines. • Collaborate with other teams, including data scientists, engineers, and product managers, to define

and troubleshoot issues. • Conduct research on emerging AI technologies and best practices.

and experience 1) Technical Proficiency: Expertise in programming languages like Python, and machine learning libraries such as scikit-learn, TensorFlow, PyTorch and LangChain. 2) Machine Learning & Statistics: Strong understanding of statistical analysis, machine learning, vectorization, retrieval augmented generation, Gen AI concepts and model evaluation. 3) Data Handling: Experience with data manipulation, feature engineering, and handling large datasets. 4) Software Engineering: Knowledge of software architecture, data structures, and algorithms. 5) Cloud & AI: Experience with cloud AI services (e.g., Google Cloud ML, AWS) and deploying models in cloud or on-prem environments.